GitLab announced the launch of GitLab 18, including AI capabilities natively integrated into the platform and major new innovations across core DevOps, and security and compliance workflows that are available now, with further enhancements planned throughout the year.
According to Forrester research, of 40 university computer science programs in the US, not one requires students to take secure coding or secure application design courses. That piece of the cyber skills gap means such training is often left up to individual teams.
Developers are not, and should not be expected to be, security experts.
Start with New Report: Speed and Security Are Both Possible in Software Development - Part 1
But to make DevSecOps more effective and address both the speed and security pressures, development and security teams need to understand each other better. For developers, that means understanding how applications can be exploited — the OWASP Top 10 is a good start.
ESG listed other elements of the most effective AppSec programs, several of which include better security awareness for developers. They include:
■ Application security best practices are formally documented.
■ Application security training is included as part of the ongoing development security training program.
■ Development managers are responsible for communicating best practices to developers.
■ A high percentage of developers participate in formal application security training programs.
■ Security issue introduction is tracked for individual development teams.
Then there is the technology piece, a major part of which is security testing tools.
Tools are crucial to finding design flaws, vulnerabilities in code and open source defects and licensing conflicts. Most organizations use multiple tools, but some of them have gone overboard — way overboard.
ESG reported more than a year ago that organizations on average run 25 to 49 security tools from up to 10 different vendors. There's an industry term for it — "tool sprawl." And it can slow productivity and lead to higher overall costs — the very things a good mix of security tools should help development teams avoid.
Analysts like Forrester and 451 Research have reported on tool sprawl in the past year, noting that as many as 40% of organizations admit that their development teams are so overwhelmed by security alerts that they can't respond to at least 25% of them. Indeed, when security alerts are so constant, they become background "noise" and are ignored — the exact opposite of the intent.
Survey respondents are aware of the problem. "Nearly one-third of organizations are … planning future investment to consolidate and simplify their tools proliferation," the report said.
So, clearly one part of the solution is DevOps integration — finding the right mix of tools that can work together and are easy for developers to use. ESG found that, for organizations seeking to improve the security of their software, "the most common challenge with their current tools is that their developers lack the knowledge to (mitigate identified security issues)."
The other part is automation. "Most believe that automating application security testing throughout the SDLC can make the biggest impact on the success of their program. DevOps integration reduces friction and shifts security further left, helping organizations identify security issues sooner," the report said.
The obvious goal is to build both security and speed into the SDLC. And based on the survey results, organizations are willing to invest to achieve that. More than half reported plans to "significantly increase spending on application security over the prior year."
Which means there is at least a chance that at some point in the future, the market will indeed get software-powered products that are the latest, greatest — and also the safest.
Industry News
Perforce Software is partnering with Siemens Digital Industries Software to transform how smart, connected products are designed and developed.
Reply launched Silicon Shoring, a new software delivery model powered by Artificial Intelligence.
CIQ announced the tech preview launch of Rocky Linux from CIQ for AI (RLC-AI), an operating system engineered and optimized for artificial intelligence workloads.
The Linux Foundation, the nonprofit organization enabling mass innovation through open source, announced the launch of the Cybersecurity Skills Framework, a global reference guide that helps organizations identify and address critical cybersecurity competencies across a broad range of IT job families; extending beyond cybersecurity specialists.
CodeRabbit is now available on the Visual Studio Code editor.
The integration brings CodeRabbit’s AI code reviews directly into Cursor, Windsurf, and VS Code at the earliest stages of software development—inside the code editor itself—at no cost to the developers.
Chainguard announced Chainguard Libraries for Python, an index of malware-resistant Python dependencies built securely from source on SLSA L2 infrastructure.
Sysdig announced the donation of Stratoshark, the company’s open source cloud forensics tool, to the Wireshark Foundation.
Pegasystems unveiled Pega Predictable AI™ Agents that give enterprises extraordinary control and visibility as they design and deploy AI-optimized processes.
Kong announced the introduction of the Kong Event Gateway as a part of their unified API platform.
Azul and Moderne announced a technical partnership to help Java development teams identify, remove and refactor unused and dead code to improve productivity and dramatically accelerate modernization initiatives.
Parasoft has added Agentic AI capabilities to SOAtest, featuring API test planning and creation.
Zerve unveiled a multi-agent system engineered specifically for enterprise-grade data and AI development.
LambdaTest, a unified agentic AI and cloud engineering platform, has announced its partnership with MacStadium, the industry-leading private Mac cloud provider enabling enterprise macOS workloads, to accelerate its AI-native software testing by leveraging Apple Silicon.
Tricentis announced a new capability that injects Tricentis’ AI-driven testing intelligence into SAP’s integrated toolchain, part of RISE with SAP methodology.